Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
Cornell University
We gratefully acknowledge support from the Simons Foundation,member institutions, and all contributors.Donate
arxiv logo>astro-ph> arXiv:0905.2854
arXiv logo
Cornell University Logo

Astrophysics > Cosmology and Nongalactic Astrophysics

arXiv:0905.2854 (astro-ph)
[Submitted on 18 May 2009 (v1), last revised 21 Jul 2009 (this version, v3)]

Title:Non-Gaussian Signatures in the five-year WMAP data as identified with isotropic scaling indices

View PDF
Abstract: We continue the analysis of non-Gaussianities in the CMB by means of the scaling index method (SIM, Raeth, Schuecker & Banday 2007) by applying this method on the 5-year WMAP data. We compare each of the results with 1000 Monte Carlo simulations mimicing the Gaussian properties of the best fit $\Lambda CDM$-model. Based on the scaling indices, scale-dependent empirical probability distributions, moments of these distributions and $\chi^2$-combinations of them are calculated, obtaining similar results as in the former analysis of the 3-year data: We derive evidence for non-Gaussianity with a probability of up to 97.3% for the mean when regarding the KQ75-masked full sky and summing up over all considered length scales by means of a diagonal $\chi^2$-statistics. Looking at only the northern or southern hemisphere, we obtain up to 98.5% or 96.6%, respectively. For the standard deviation, these results appear as 95.6% for the full sky (99.7% north, 89.4% south) and for a $\chi^2$-combination of both measurements as 97.4% (99.1% north, 95.5% south). By performing an analysis of rotated hemispheres, we detect an obvious asymmetry in the data. In addition to these investigations, we present a method of filling the mask with Gaussian noise to eliminate boundary effects caused by the mask. With the help of this technique, we identify several local features on the map, of which the most significant one turns out to be the well-known cold spot. When excluding all these spots from the analysis, the deviation from Gaussianity increases, which shows that the discovered local anomalies are not the reason of the global detection of non-Gaussianity, but actually were damping the deviations on average. Our analyses per band and per year suggest, however, that it is very unlikely that the detected anomalies are due to foreground effects.
Comments:14 pages, 10 figures; minor revisions; accepted for publication by MNRAS
Subjects:Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Cite as:arXiv:0905.2854 [astro-ph.CO]
 (orarXiv:0905.2854v3 [astro-ph.CO] for this version)
 https://doi.org/10.48550/arXiv.0905.2854
arXiv-issued DOI via DataCite
Journal reference:Mon.Not.Roy.Astron.Soc.399:1921-1933,2009
Related DOI:https://doi.org/10.1111/j.1365-2966.2009.15421.x
DOI(s) linking to related resources

Submission history

From: Gregor Rossmanith [view email]
[v1] Mon, 18 May 2009 11:53:59 UTC (3,343 KB)
[v2] Tue, 19 May 2009 13:27:10 UTC (3,343 KB)
[v3] Tue, 21 Jul 2009 14:44:39 UTC (3,369 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
Current browse context:
astro-ph.CO
Change to browse by:
export BibTeX citation

Bookmark

BibSonomy logoReddit logo

Bibliographic and Citation Tools

Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
scite Smart Citations(What are Smart Citations?)

Code, Data and Media Associated with this Article

CatalyzeX Code Finder for Papers(What is CatalyzeX?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)

Demos

Hugging Face Spaces(What is Spaces?)

Recommenders and Search Tools

Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
IArxiv Recommender(What is IArxiv?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.

Which authors of this paper are endorsers? |Disable MathJax (What is MathJax?)

[8]ページ先頭

©2009-2026 Movatter.jp